Learning outcomes
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The student is able to participate actively in a scientific debate.
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The student is aware of current trends in data science and has the skill to judge different approaches and technologies.
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The student can list the strengths and weaknesses of different AI/data science technologies and in which circumstances they can be applied.
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The student is able to recognise and formulate open research questions, a skill that will support them in their own explorations of the field.
Content
The fields of artificial intelligence and data science are evolving at an incredible speed. In this course, the latest advances in data science will be presented. During ten guest lectures, experts in their field come to talk about their latest research.
Evaluations
Oral examination with written preparation.
Recommended readings
Slides and reading material will be made available through Webcampus.
Language of instruction
French / Français
Location for course
NAMUR
Organizer
Faculté d'informatique
rue Grandgagnage 21
5000 NAMUR
P. 081725252
F. 081724967
secretariat.info@unamur.be
Degree of Reference
Master's Degree